Fred W. Kear is a Consultant in Manufacturing Engineering, Albuquerque, New Mexico.
Emphasizing the importance of understanding and reducing process variation to achieve quality manufacturing performance, this work establishes how statistical process control (SPC) provides powerful tools for measuring and regulating manufacturing processes. It presents information derived from time-tested applications of SPC techniques at on-site process situations in manufacturing. It is designed to assist manufacturing organizations in explaining and implementing successful SPC programmes.
The history and application of statistical process control; measuring manufacturing processes; characterization of manufacturing processes; key aspects of manufacturing process; planning the statistical process control management system; problem solving and corrective action; continuous process improvement; customer satisfaction issues and SPC; how to do statistical process control operations. Appendices: histogram construction; calculating process validation; constructing X-bar and R charts; calculating Cp; calculating Cpk; process metrics associations; determining the number of process opportunities for errors; design and experiment; conducting a problem solving team; constructing and using the frequency chart; glossary of terms; using flow-charts as a manufacturing tool; constructing and using the Pareto chart; using the fishbone diagram for brain storming; constructing and using attribute charts.
Emphasizing the importance of understanding and reducing process variation to achieve quality manufacturing performance, this work establishes how statistical process control (SPC) provides powerful tools for measuring and regulating manufacturing processes. It assists manufacturing organizations in implementing successful SPC programmes.
Über den Autor
Fred W. Kear is a Consultant in Manufacturing Engineering, Albuquerque, New Mexico.
Inhaltsverzeichnis
The history and application of statistical process control; measuring manufacturing processes; characterization of manufacturing processes; key aspects of manufacturing process; planning the statistical process control management system; problem solving and corrective action; continuous process improvement; customer satisfaction issues and SPC; how to do statistical process control operations. Appendices: histogram construction; calculating process validation; constructing X-bar and R charts; calculating Cp; calculating Cpk; process metrics associations; determining the number of process opportunities for errors; design and experiment; conducting a problem solving team; constructing and using the frequency chart; glossary of terms; using flow-charts as a manufacturing tool; constructing and using the Pareto chart; using the fishbone diagram for brain storming; constructing and using attribute charts.
Klappentext
Emphasizing the importance of understanding and reducing process variation to achieve quality manufacturing performance, this work establishes how statistical process control (SPC) provides powerful tools for measuring and regulating manufacturing processes. It presents information derived from time-tested applications of SPC techniques at on-site process situations in manufacturing. It is designed to assist manufacturing organizations in explaining and implementing successful SPC programmes.
